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Distribution and characteristics of newly-defined subgroups of type 2 diabetes in randomised clinical trials : Post hoc cluster assignment analysis of over 12,000 study participants
Authors
Emma, Ahlqvist
Olof, Asplund
+10 more
Gregory, Bigot
Geremia B., Bolli
Brian M., Frier
Leif, Groop
Sibylle, Hess
Annemari, Käräjämäki
Wolfgang, Landgraf
Lund University.
Lund University.
David R., Owens
Publication date
1 January 2022
Publisher
Doi
Abstract
Publisher Copyright: © 2022Aims: Newly-defined subgroups of type 2 diabetes mellitus (T2DM) have been reported from real-world cohorts but not in detail from randomised clinical trials (RCTs). Methods: T2DM participants, uncontrolled on different pre-study therapies (n = 12.738; 82 % Caucasian; 44 % with diabetes duration > 10 years) from 14 RCTs, were assigned to new subgroups according to age at onset of diabetes, HbA1c, BMI, and fasting C-peptide using the nearest centroid approach. Subgroup distribution, characteristics and influencing factors were analysed. Results: In both, pooled and single RCTs, “mild-obesity related diabetes” predominated (45 %) with mean BMI of 35 kg/m2. “Severe insulin-resistant diabetes” was found least often (4.6 %) and prevalence of “mild age-related diabetes” (23.9 %) was mainly influenced by age at onset of diabetes and age cut-offs. Subgroup characteristics were widely comparable to those from real-world cohorts, but all subgroups showed higher frequencies of diabetes-related complications which were associated with longer diabetes duration. A high proportion of “severe insulin-deficient diabetes” (25.4 %) was identified with poor pre-study glycaemic control. Conclusions: Classification of RCT participants into newly-defined diabetes subgroups revealed the existence of a heterogeneous population of T2DM. For future RCTs, subgroup-based randomisation of T2DM will better define the target population and relevance of the outcomes by avoiding clinical heterogeneity.Peer reviewe
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Lund University Publications
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Last time updated on 06/10/2022
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Helsingin yliopiston digitaalinen arkisto
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Last time updated on 06/10/2022